Job Description

We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech.

The successful candidate will work in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending availability of funding.

The successful candidate will join a vibrant group of graduate students, postdoctoral scholars, and faculty in quantum information theory across multiple departments on campus at Virginia Tech and at the Virginia Tech Center for Quantum Information Science and Engineering. There will be plenty of opportunities for collaboration with other members of the group and with some of the leading experimental and theory groups around the world.


Postdoctoral associate will conduct theoretical physics research in areas such as quantum information and quantum error correction. Expertise in reinforcement learning and/or tensor networks are preferred. Other responsibilities include communicating results in journal publications and conferences as well as mentoring junior members of the group. There will also involve opportunities for travel to present in conferences and to collaborate with other groups.

Required Qualifications

Postdoctoral associate applicants must hold a Ph.D. before the start date with a background in physics, computer science, or a closely related field. A strong background in quantum mechanics and programming skills are necessary.

Preferred Qualifications

Knowledge of quantum error correction, tensor networks, and/or machine learning. Experience with programming and numerical methods is preferred.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Commensurate with experience

Hours per week

40 hours - exempt position

Review Date

02/01/2026

Additional Information

The successful candidate will be required to have a criminal conviction check.

Cover letter (optional), a curriculum vitae, a research statement with no more than two pages, a list of publications. The applicant should also arrange three letters of reference to be sent to Prof. Cao at [email protected].

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.